Automated detection of look-alike/sound-alike medication errors.
Approach to Improving Safety
Look-alike and sound-alike medications increase the risk of adverse drug events. This retrospective study found that look-alike and sound-alike medications can be identified in an automated fashion by comparing a medication and its known look-alike and sound-alike medications to diagnostic codes at the point of computerized provider order entry. This is a promising strategy for preventing this type of prescribing error.